Kushal K. Banerjee

809 total citations
21 papers, 500 citations indexed

About

Kushal K. Banerjee is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kushal K. Banerjee has authored 21 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kushal K. Banerjee's work include Cardiac Arrhythmias and Treatments (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Epigenetics and DNA Methylation (3 papers). Kushal K. Banerjee is often cited by papers focused on Cardiac Arrhythmias and Treatments (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Epigenetics and DNA Methylation (3 papers). Kushal K. Banerjee collaborates with scholars based in India and United States. Kushal K. Banerjee's co-authors include Ullas Kolthur‐Seetharam, Champakali Ayyub, Samudra Sengupta, Nagaraj Guru Prasad, Zeeshan Ali Syed, Suji George, Ken Nakamura, Shaunak Deota, Ramesh A. Shivdasani and Wei Lin and has published in prestigious journals such as Circulation, Genes & Development and Molecular Cell.

In The Last Decade

Kushal K. Banerjee

20 papers receiving 488 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kushal K. Banerjee India 10 227 178 147 99 67 21 500
William Giblin United States 6 212 0.9× 134 0.8× 89 0.6× 86 0.9× 32 0.5× 8 410
Heidi L. Galonek United States 5 352 1.6× 217 1.2× 141 1.0× 109 1.1× 233 3.5× 5 596
Joshua K. Thackray United States 9 296 1.3× 214 1.2× 99 0.7× 111 1.1× 23 0.3× 15 586
Paloma Martínez‐Redondo Spain 8 402 1.8× 392 2.2× 129 0.9× 222 2.2× 38 0.6× 10 743
Yongheng Cao Japan 8 431 1.9× 38 0.2× 208 1.4× 100 1.0× 29 0.4× 8 612
P.A. Cole United States 3 263 1.2× 169 0.9× 193 1.3× 114 1.2× 15 0.2× 3 496
Shimin Sun China 10 187 0.8× 105 0.6× 104 0.7× 61 0.6× 34 0.5× 17 376
Cory U. Lago United States 11 354 1.6× 34 0.2× 163 1.1× 56 0.6× 41 0.6× 12 582
Alessandra Runci Italy 6 183 0.8× 146 0.8× 91 0.6× 162 1.6× 9 0.1× 7 390
Irina Gurt Israel 10 293 1.3× 134 0.8× 88 0.6× 73 0.7× 50 0.7× 15 459

Countries citing papers authored by Kushal K. Banerjee

Since Specialization
Citations

This map shows the geographic impact of Kushal K. Banerjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kushal K. Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kushal K. Banerjee more than expected).

Fields of papers citing papers by Kushal K. Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kushal K. Banerjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kushal K. Banerjee. The network helps show where Kushal K. Banerjee may publish in the future.

Co-authorship network of co-authors of Kushal K. Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Kushal K. Banerjee. A scholar is included among the top collaborators of Kushal K. Banerjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kushal K. Banerjee. Kushal K. Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Malhotra, Atul, Cory R. Heilmann, Kushal K. Banerjee, et al.. (2024). Weight reduction and the impact on apnea-hypopnea index: A systematic meta-analysis. Sleep Medicine. 121. 26–31. 28 indexed citations
2.
Banerjee, Kushal K., et al.. (2023). AI-Driven Edge Computing for IoT: A Comprehensive Survey and Future Directions. International Journal of Advanced Research in Science Communication and Technology. 117–121. 1 indexed citations
3.
Kumar, Namit, Yu-Hwai Tsai, Lei Chen, et al.. (2019). The lineage-specific transcription factor CDX2 navigates dynamic chromatin to control distinct stages of intestine development. Development. 146(5). 45 indexed citations
4.
Jadhav, Unmesh, Alessia Cavazza, Kushal K. Banerjee, et al.. (2019). Extensive Recovery of Embryonic Enhancer and Gene Memory Stored in Hypomethylated Enhancer DNA. Molecular Cell. 74(3). 542–554.e5. 55 indexed citations
5.
Maniyadath, Babukrishna, et al.. (2019). Loss of Hepatic Oscillatory Fed microRNAs Abrogates Refed Transition and Causes Liver Dysfunctions. Cell Reports. 26(8). 2212–2226.e7. 20 indexed citations
6.
Banerjee, Kushal K., Madhurima Saxena, Namit Kumar, et al.. (2018). Enhancer, transcriptional, and cell fate plasticity precedes intestinal determination during endoderm development. Genes & Development. 32(21-22). 1430–1442. 26 indexed citations
7.
Banerjee, Kushal K., et al.. (2017). Central metabolic-sensing remotely controls nutrient –sensitive endocrine response in Drosophila via Sir2/Sirt1-upd2-IIS axis. Journal of Experimental Biology. 220(Pt 7). 1187–1191. 8 indexed citations
8.
Ayyub, Champakali, et al.. (2015). Reduction of Cullin-2 in somatic cells disrupts differentiation of germline stem cells in the Drosophila ovary. Developmental Biology. 405(2). 269–279. 8 indexed citations
9.
Ho, Linh, Allen Sam Titus, Kushal K. Banerjee, et al.. (2013). SIRT4 regulates ATP homeostasis and mediates a retrograde signaling via AMPK. Aging. 5(11). 835–849. 126 indexed citations
10.
Banerjee, Kushal K., et al.. (2012). dSir2 in the Adult Fat Body, but Not in Muscles, Regulates Life Span in a Diet-Dependent Manner. Cell Reports. 2(6). 1485–1491. 81 indexed citations
11.
Banerjee, Kushal K., et al.. (2012). Small Changes, Big Effects: Chromatin Goes Aging. Sub-cellular biochemistry. 61. 151–176. 5 indexed citations
12.
Banerjee, Kushal K., Champakali Ayyub, Samudra Sengupta, & Ullas Kolthur‐Seetharam. (2012). dSir2 deficiency in the fatbody, but not muscles, affects systemic insulin signaling, fat mobilization and starvation survival in flies. Aging. 4(3). 206–223. 43 indexed citations
13.
Banerjee, Kushal K., Champakali Ayyub, Samudra Sengupta, & Ullas Kolthur‐Seetharam. (2012). Fat Body dSir2 Regulates Muscle Mitochondrial Physiology and Energy Homeostasis Nonautonomously and Mimics the Autonomous Functions of dSir2 in Muscles. Molecular and Cellular Biology. 33(2). 252–264. 24 indexed citations
14.
Banerjee, Kushal K., et al.. (2005). Upregulation of TNF–A in Hypertensive Rat Eyes. Investigative Ophthalmology & Visual Science. 46(13). 3772–3772. 1 indexed citations
15.
Roy, Akash, et al.. (1992). Induction of tumour necrosis factor alpha in experimental animals treated with hepatotoxicants.. PubMed. 30(8). 696–700. 8 indexed citations
16.
Banerjee, Kushal K., et al.. (1988). Acute pancreatitis with ischaemic heart disease--an abnormal electrocardiography.. PubMed. 36(7). 452–4. 1 indexed citations
17.
Banerjee, Kushal K., et al.. (1961). Wolff-Parkinson-White syndrome associated with thyrotoxicosis∗. The American Journal of Cardiology. 8(3). 431–437. 5 indexed citations
18.
Banerjee, Kushal K., et al.. (1960). Cardiac Enlargement in Chronic Severe Anemia. Circulation. 22(3). 412–418. 9 indexed citations
19.
Banerjee, Kushal K., et al.. (1959). Wolff-Parkinson-White syndrome. The American Journal of Cardiology. 4(3). 341–345. 2 indexed citations
20.
Banerjee, Kushal K., et al.. (1959). Escape-capture bigeminy. The American Journal of Cardiology. 4(6). 825–827. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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